search for: scale_fill_gradientn

...y in 1:21){ temp<- rev(seq(10000+((i-1)*500),12000+((i-1)*500),100)) disc[i,y]=temp[y] }} disc1=t(disc) bla=as.vector(disc1) tot$dis=bla cols=c("darkred"," white"," darkblue") p <- ggplot(tot, aes(x=temp, y=precip,group=dis)) p+geom_tile(aes(fill=dis)) + scale_fill_gradientn(colours=cols) ### This creates the plot that I want, but with white horizontal and vertical lines that I do not need. I have tried different things, but have not found the solution. Can you help me with this problem? Kind regards, Saskia van Pelt

Hello everyone.. Is there any graphical tool to help me see what is inside a matrix? I have 100x100 dimensions matrix and as you already know as it does not fit on my screen R splits it into pieces. I would like to thank you in advance for your help Best Regards Alex [[alternative HTML version deleted]]

I've hit a bug on Ubuntu 20.04. The issue occurred both with the R version that shipped with Ubuntu last week, and it is occurring now with the CRAN packages from one of the mirros (deb http://cran.mirror.garr.it/mirrors/CRAN/bin/linux/ubuntu/ focal-cran40/). The issue occurs whether I use the deb package for viridis in the Ubuntu repos, or I install it with `install.packages()` in R.

...match,] return(output) } sub1 <- mysubset(input, input$depth, depths[1]) sub2 <- mysubset(input, input$depth, depths[2]) sub3 <- mysubset(input, input$depth, depths[3]) sub4 <- mysubset(input, input$depth, depths[4]) p <- ggplot(sub1, aes(x=x,y=y,fill=amplitude)) p + geom_tile() + scale_fill_gradientn("Custom Colours",colours=c("purple","blue","green","yellow","orange","red")) # custom colours legend range and assigned colors is different than in the next plot p <- ggplot(sub3, aes(x=x,y=y,fill=amplitude)) p + geom_tile()...

I am very new to R and don't have any computer program experience whatsoever. I am trying to generate a heatmap of the following data: Phylum,AI,AJT,BY,GA,Grt,Sm Acidobacteria,0.5,0.7,2.7,0.1,2.6,1.0 Actinobacteria,33.7,65.1,9.7,2.0,3.9,2.1 Bacteroidetes,9.7,5.6,0.7,13.2,41.1,21.6 CCM11b,0.0,0.0,0.0,0.0,0.0,0.1 Chlamydiae,0.1,0.1,0.0,0.0,1.0,0.2

...9;/home/edd/') R> R> library(viridisLite) R> example(viridis) viridsR> library(ggplot2) viridsR> library(hexbin) viridsR> dat <- data.frame(x = rnorm(10000), y = rnorm(10000)) viridsR> ggplot(dat, aes(x = x, y = y)) + virids+ geom_hex() + coord_fixed() + virids+ scale_fill_gradientn(colours = viridis(256, option = "D")) Hit <Return> to see next plot: viridsR> # using code from RColorBrewer to demo the palette viridsR> n = 200 viridsR> image( virids+ 1:n, 1, as.matrix(1:n), virids+ col = viridis(n, option = "D"), virids+ xlab = "...

I have a dataframe df with columns x, y, and height. I want to create a heatmap-like plot that creates a grid of x by y, and then color codes the grid depending on the value of height. Is there a ggplot2 object to do this? I'm able to easily do this in Excel with pivot tables and conditional formatting so I'm including an image that is close to the output I want. I want to be able to

...t; R> example(viridis) > > viridsR> library(ggplot2) > > viridsR> library(hexbin) > > viridsR> dat <- data.frame(x = rnorm(10000), y = rnorm(10000)) > > viridsR> ggplot(dat, aes(x = x, y = y)) + > virids+ geom_hex() + coord_fixed() + > virids+ scale_fill_gradientn(colours = viridis(256, option = "D")) > Hit <Return> to see next plot: > > viridsR> # using code from RColorBrewer to demo the palette > viridsR> n = 200 > > viridsR> image( > virids+ 1:n, 1, as.matrix(1:n), > virids+ col = viridis(n, option =...